ScholarGate
Asistent

Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Pilot-tested API-based Data Collection×Průzkum s pilotním testováním×
OborMetodologie dotazníkových šetřeníMetodologie dotazníkových šetření
RodinaProcess / pipelineProcess / pipeline
Rok vzniku2000s–2010sWidely formalised from the 1970s-1980s
TvůrceConvergence of survey pilot-testing tradition (Presser et al., 2004) and computational social science API methods (Salganik, 2018)Systematic practice codified by Jean M. Converse and Stanley Presser
TypApplied data-collection variantSurvey design and validation procedure
Původní zdrojSalganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 978-0691158648Converse, J. M., & Presser, S. (1986). Survey Questions: Handcrafting the Standardized Questionnaire. Sage. ISBN: 978-0803925557
Další názvypilot API data collection, pre-tested API harvesting, API data collection pilot study, pilot-validated API scrapingpre-tested survey, survey pre-testing, questionnaire pilot study, survey field test
Příbuzné46
ShrnutíPilot-tested API-based data collection is a structured digital data-gathering approach in which a researcher designs an API query or harvesting script and then runs a small-scale trial before executing the full collection. The pilot phase exposes authentication issues, rate-limit constraints, schema inconsistencies, and coverage gaps, enabling targeted refinements that protect the integrity and completeness of the final dataset. It bridges the software-engineering practice of integration testing with the social-science tradition of instrument pre-testing.A pilot-tested survey is a structured questionnaire that has been administered to a small, representative sample before the main data-collection phase. The purpose is to detect problems with wording, response options, skip logic, or timing, allowing the researcher to refine the instrument before it reaches the full sample. Pilot testing is not a separate research design; it is a quality-assurance step embedded within survey methodology that substantially reduces measurement error.
ScholarGateDatová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Přejít na hledání Stáhnout prezentaci

ScholarGatePorovnat metody: Pilot-tested API-based data collection · Pilot-tested Survey. Získáno 2026-06-17 z https://scholargate.app/cs/compare